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Macro and Micro Dynamics of Productivity: From Devilish Details to Insights. (2017). Wolf, Zoltán ; Haltiwanger, John ; Grim, Cheryl ; Foster, Lucia.
In: Working Papers.
RePEc:cen:wpaper:17-41r.

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Cited: 25

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  1. Misallocation and price distortions: A revenue decomposition of medical service providers in China. (2021). Pang, Ruizhi ; Song, Shunfeng ; Jiang, Nan ; Deng, Zhongqi.
    In: China Economic Review.
    RePEc:eee:chieco:v:65:y:2021:i:c:s1043951x20301711.

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  2. Productivity, Place, and Plants: Revisiting the Measurement. (2021). Ziv, Oren ; Schoefer, Benjamin.
    In: CEPR Discussion Papers.
    RePEc:cpr:ceprdp:15676.

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  3. Granular credit risk. (2020). Galaasen, Sigurd ; Juelsrud, Ragnar ; Rey, Helene ; Jamilov, Rustam.
    In: Working Paper.
    RePEc:bno:worpap:2020_15.

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  4. Productivity dispersion and persistence among the worlds most numerous firms. (2020). Emerick, Kyle ; Burke, Marshall ; Maue, Casey C.
    In: 2020 Annual Meeting, July 26-28, Kansas City, Missouri.
    RePEc:ags:aaea20:304287.

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  5. Credit Supply and Productivity Growth. (2019). Pierri, Nicola ; Manaresi, Francesco.
    In: IMF Working Papers.
    RePEc:imf:imfwpa:2019/107.

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  6. Company Profits in Italy. (2019). Schivardi, Fabiano ; Ottaviano, Gianmarco ; Del Gatto, Massimo ; Hassan, Fadi.
    In: European Economy - Discussion Papers 2015 -.
    RePEc:euf:dispap:093.

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  7. What drives differences in management practices?. (2019). van Reenen, John ; Saporta Eksten, Itay ; Jarmin, Ron ; Brynjolfsson, Erik ; bloom, nicholas ; Saporta-Eksten, Itay ; Patnaik, Megha ; Foster, Lucia ; VanReenen, John .
    In: LSE Research Online Documents on Economics.
    RePEc:ehl:lserod:101175.

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  8. Increasing productivity dispersion: Evidence from light manufacturing in Brazil. (2018). Mendez-Guerra, Carlos ; Gonzales Rocha, Erick ; Gonzales-Rocha, Erick.
    In: MPRA Paper.
    RePEc:pra:mprapa:88478.

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  9. Collateral, Reallocation, and Aggregate Productivity: Evidence from the U.S. Housing Boom. (2018). Doerr, Sebastian.
    In: MPRA Paper.
    RePEc:pra:mprapa:106163.

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  10. Innovation, Productivity Dispersion, and Productivity Growth. (2018). Wolf, Zoltán ; Haltiwanger, John ; Grim, Cheryl ; Foster, Lucia.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:24420.

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  11. Innovation, Productivity Dispersion, and Productivity Growth. (2018). Foster, Lucia ; Wolf, Zoltan ; Haltiwanger, John ; Grim, Cheryl.
    In: NBER Chapters.
    RePEc:nbr:nberch:13889.

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  12. The Productivity Puzzle and Misallocation: an Italian Perspective. (2018). Schivardi, Fabiano ; Ottaviano, Gianmarco ; Del Gatto, Massimo ; Hassanz, Fadi ; Calligaris, Sara.
    In: Working Papers LuissLab.
    RePEc:lui:lleewp:18142.

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  13. The productivity puzzle and misallocation: an Italian perspective. (2018). Schivardi, Fabiano ; Ottaviano, Gianmarco ; Del Gatto, Massimo ; Hassan, Fadi ; Calligaris, Sara.
    In: LSE Research Online Documents on Economics.
    RePEc:ehl:lserod:90271.

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  14. Automation, Labor Share, and Productivity: Plant-Level Evidence from U.S. Manufacturing. (2018). Wolf, Zoltán ; Dinlersoz, Emin.
    In: Working Papers.
    RePEc:cen:wpaper:18-39.

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  15. Punctuated Entrepreneurship (Among Women). (2018). Marx, Matt.
    In: Working Papers.
    RePEc:cen:wpaper:18-26.

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  16. Dispersion in Dispersion: Measuring Establishment-Level Differences in Productivity. (2018). Wolf, Zoltán ; Pabilonia, Sabrina ; Haltiwanger, John ; Grim, Cheryl ; Foster, Lucia ; Stewart, Jay ; Cunningham, Cindy.
    In: Working Papers.
    RePEc:cen:wpaper:18-25.

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  17. Innovation, Productivity Dispersion, and Productivity Growth. (2018). Wolf, Zoltán ; Haltiwanger, John ; Grim, Cheryl ; Foster, Lucia.
    In: Working Papers.
    RePEc:cen:wpaper:18-08.

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  18. Credit supply and productivity growth. (2018). Pierri, Nicola ; Manaresi, Francesco.
    In: BIS Working Papers.
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  19. Credit supply and productivity growth. (2018). Pierri, Nicola ; Manaresi, Francesco.
    In: Temi di discussione (Economic working papers).
    RePEc:bdi:wptemi:td_1168_18.

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  20. The productivity puzzle and misallocation: an Italian perspective. (2017). Schivardi, Fabiano ; Ottaviano, Gianmarco ; Del Gatto, Massimo ; Hassan, Fadi ; Calligaris, Sara.
    In: LSE Research Online Documents on Economics.
    RePEc:ehl:lserod:86617.

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  21. The Productivity Puzzle and Misallocation: an Italian Perspective. (2017). Schivardi, Fabiano ; Ottaviano, Gianmarco ; Del Gatto, Massimo ; G. I. P. Ottaviano, ; Hassan, F ; Calligaris, S.
    In: Working Paper CRENoS.
    RePEc:cns:cnscwp:201710.

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  22. The Productivity Puzzle and Misallocation: An Italian Perspective. (2017). Schivardi, Fabiano ; Ottaviano, Gianmarco ; Del Gatto, Massimo ; Hassan, Fadi ; Calligaris, Sara.
    In: CEP Discussion Papers.
    RePEc:cep:cepdps:dp1520.

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  23. Imputation in U.S. Manufacturing Data and Its Implications for Productivity Dispersion. (2016). White, T. Kirk ; Reiter, Jerome P ; Petrin, Amil.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:22569.

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  24. Firm-Level Dispersion in Productivity: Is the Devil in the Details?. (2016). Wolf, Zoltán ; Haltiwanger, John ; Grim, Cheryl ; Foster, Lucia.
    In: American Economic Review.
    RePEc:aea:aecrev:v:106:y:2016:i:5:p:95-98.

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References

References cited by this document

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  22. In some robustness analysis, we also use the Klette and Griliches (1996) approach to jointly estimate βj and ρ by including a measure of industry-level output as a regressor. This permits us to back out the αj from the combined estimates and provides an alternative method to cost shares for estimatin αj. The advantage of this approach is that is does not impose CRTS. The disadvantage of this approach is that in the absence of data on plant level prices and quantitites, this is pushing the data quite hard. Foster, Grim, Haltiwanger, and Wolf (2016b) discuss the latter limitations in more depth.
    Paper not yet in RePEc: Add citation now

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  33. Wooldridge, Jeffrey M. On estimating firm-level production functions using proxy variables to control for unobservables. Economics Letters, 104(3):112–114, September 2009. A Appendix A.1 tfprrr and fundamentals We derive the properties of tfprrr under the more general specification of demand given by PiQi = PsQ1−ρ s Qρ−1 i ξiQi = PsQ1−ρ s Qρ i ξi. In this case, log plant level revenues can be written as pi + qi =ρqi + (1 − ρ)qs + ps + ln ξi = ρ X j αjxij + ai ! + (1 − ρ)qs + ps + ln ξi. This permits characterizing tfprrr i as: pi + qi − ρ X j αjxij = pi + qi − X j βjxij = ρai + ln ξi + (1 − ρ)qs + ps, which says that tfprrr i is a function of tfpqi (ai), demand shocks (ξi) and sectoral level factors (qs, ps and ρ). In the main text, we abstract from idiosyncratic demand shocks and sectoral level factors for transparency. We estimate the βj using regression (proxy) methods.

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  48. One-off Export Events. (2016). Sørensen, Allan ; Schröder, Philipp ; Sorensen, Allan ; Geishecker, Ingo.
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  49. Productivity Measures for the Colombian Manufacturing Industry. (2016). Gonzalez-Ramirez, Alejandra ; Casas, Camila.
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